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modeling and analysis. Ability to select, implement, diagnose, and adapt parameter-estimation or statistical-inference methods to suit the model, data structure, and scientific question. Experience with
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. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates will present research findings through
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contact information (including email addresses) of three references. Please send this to [email protected] to express interest. Web: https://lopezsilva-lab.mit.edu/ This position is located at MIT in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or financial sectors will be particularly well qualified. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
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the preparation of scientific manuscripts and competitive research proposals through data analysis, scientific writing and presentation of results. LanguagesENGLISHLevelGood Additional Information Work Location(s
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applications for specific avenues of independent research. You will provide academic supervision for students, line-manage Research Assistants and D.Phil. students, mentor on methods, analysis and career
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19 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique théorique et modèles statistiques Research Field Physics Chemistry » Computational chemistry Researcher
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and responsibilities include Optimization of microfluidic and biochemical workflows Development of miniaturized T-cell expansion assays, including feeder cells Preparation of NGS libraries Data analysis
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, the Division has a strong complementary background on using local scale community data such as vegetation plot data (e.g. EVA, https://euroveg.org/eva-database and ReSurveyEurope, https://euroveg.org/resurvey
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or jointly in accordance with the project deliverables and project/group/School/College research strategy. 2. Document research output including analysis and interpretation of all data, maintaining records